118 results about "Resource assessment" patented technology

The present invention dynamically optimizes computing resources allocated to a simulation task while it is running. It satisfies application-imposed constraints and enables the simulation application performing the simulation task to resolve inter-instance (including inter-server) dependencies inherent in executing the simulation task in a parallel processing or other HPC environment. An intermediary server platform, between the user of the simulation task and the hardware providers on which the simulation task is executed, includes a cluster service that provisions computing resources on hardware provider platforms, an application service that configures the simulation application in accordance with application-imposed constraints, an application monitoring service that monitors execution of the simulation task for computing resource change indicators (including computing resource utilization and application-specific information extracted from output files generated by the simulation application) as well as restart files, and a computing resource evaluation engine that determines when a change in computing resources is warranted.

Methods, devices, and systems are provided for human resource assessment. A resource planning device includes a processor, a memory, and a user interface coupled to one another. The device includes program instructions storable in the memory and executable by the processor to present, in a selectable configuration, organization specific human resource content after processing according to a selectable set of business rules. The selectable set of business rules are process neutral, brand neutral, and assessment neutral between various organizations. The device can track input to the organization specific content and analyze the input.

The invention relates to an establishment method for hydrocarbon source rock hydrocarbon production rate charts in petroleum resource assessment. The establishment method includes the steps of 1), collecting experimental samples and determining thermal simulation experiment data through experiments; 2), collecting materials; 3), calibrating kerogen generated oil, generated gas and oil-cracking gas kinetic parameters; 4), establishing sedimentary burial history and thermal-history models of hydrocarbon source rocks on a target stratum of a research area; 5), establishing constraint condition of hydrocarbon source rock hydrocarbon production rate; 6), establishing kerogen generated oil, kerogen generated gas, oil generated gas, clean and total gas conversion profile charts on the target stratum of the research area; 7), checking whether dynamics geological extrapolation results meet requirements or not; 8), putting forwards part of hydrocarbon expulsion mode adjustment coefficients, evaluating hydrocarbon production rate curves of the partial hydrocarbon expulsion model, and establishing the hydrocarbon source rock hydrocarbon production rate charts including three modes, namely the mode of complete hydrocarbon expulsion, the mode of partial hydrocarbon expulsion and the mode of no hydrocarbon expulsion. The shortcoming in an original calculating method and experiment simulated data of the hydrocarbon source rock hydrocarbon production rate is overcome, and the hydrocarbon source rock hydrocarbon production rate at the target stratum can be accurately and reasonably determined according to oil field exploration practice by oil field workers.

Techniques are disclosed for allocation of resources under the control of resource managers and the choice and coordination of resource acquisition protocols to communicate with these resource managers. The resource managers may be distributed and heterogeneous. For example, a technique for use by a service provider for allocating one or more resources from multiple resources associated with multiple resource managers based on at least one service agreement offer from a service client comprises the following steps / operations. At least one service agreement offer is obtained. A resource allocation is automatically determined based on the obtained service agreement offer. The automated step / operation of determining the resource allocation comprises: (i) coordinating selection of a resource acquisition protocol from among multiple resource acquisition protocols for use in communicating with the multiple resource managers to acquire one or more resources associated therewith; and (ii) evaluating a performance associated with one or more of the multiple resource acquisition protocols.

The invention relates to a multimedia resource assessment method and device, ands aims to assess multimedia resources in recommended contents; the multimedia resource assessment method comprises the following steps: obtaining behavior data of a plurality of users corresponding to the multimedia resources in a preset time period; filtering the behavior data of the plurality of users; accessing the quality of the multimedia resources according to the filtered user behavior data; accessing the heat level of the multimedia resources according to the quality assess result of the multimedia resources and the recommended contents. The multimedia resource assessment method and device can properly consider content self of the commended multimedia resources, thus reducing influences on user experiences by hot spot multimedia resources or headline and screenshot multimedia resources, and improving user experiences.

Methods, devices, and systems are provided for human resource assessment. A resource planning device includes a processor, a memory, and a user interface coupled to one another. The device includes program instructions storable in the memory and executable by the processor to present, in a selectable configuration, organization specific human resource content after processing according to a selectable set of business rules. The selectable set of business rules are process neutral, brand neutral, and assessment neutral between various organizations. The device can track input to the organization specific content and analyze the input.

The invention relates to a spectral type solar radiance measuring instrument and belongs to the technical field of irradiance measurement and information processing. The measuring instrument is composed of an optical receiving unit, an optical coupling unit, a fiber optical spectrometer module unit, a global positioning system (GPS) module unit, a thermostatic control unit, a case and the like. According to the measuring instrument, key technologies such as solar radiation collection by a lens, fiber optic bundle transmission, grating light splitting and an array detector are adopted to measure solar radiance in ultraviolet, visible, near-infrared and infrared wave bands, and wired or wireless transmission of observation data is achieved through data interfaces. As a high-resolution solar irradiation observation instrument provided with a wavelength resolution function, the measuring instrument can obtain a two-dimensional spectrogram about irradiance-wavelength as well as a three-dimensional spectrogram about irradiance-wavelength-time at a certain moment, the data information quantity is rich, and broad application prospects in fields of meteorological observation, solar energy resource assessment, air pollution detection, modern agriculture and ecological security research and the like are provided.

Systems, computer-implemented methods, and computer-readable media for facilitating resource balancing based on resource capacities and resource assignments are disclosed. Electronic communications, received via interfaces, from monitoring devices to identify resource descriptions of resources may be monitored. A resource descriptions data store may be updated to associate each entity of the entities and resource capacities of each resource type of resource types. A first electronic communication, from resource-controlling systems, may be detected. Model data from a model data store may be accessed based on the identified resource descriptions. A first model may be identified based on the model data. A resources assessment corresponding may be generated based on whether a threshold is satisfied based on the first model, a first resource capacity of a first resource type, and the first electronic communication. An electronic notification may be transmitted to the client devices to identify the resources assessment.

The invention relates to a method for extracting topographical spatial information based on a generalized self-similarity principle, which comprises: transforming the topographical spatial information into an energy spectral density space by Fourier transformation; eliminating the influence of boundary effect generated by the topographical data boundary part; drawing a double logarithmic scatter graph formed by the energy spectral density value (S) and the area (A) included by the isometric line of the energy spectral density value (S), and detecting the fractal rules of the energy spectral density and the area; determining the number and the interval of generalized self-similarity relations; determining the threshold and a corresponding fractal filter; and transforming filtered energy spectrum information back to a spatial domain by inverse Fourier transformation, and achieving the aims of decomposing anomaly and ambient fields and extracting interested topographical spatial information. The method has the advantages of wide practicality, high extraction precision and the like, and is suitable for topographical data such as geological data, mineral data, geochemical data, geophysical data, remote sensing data and the like, and the operations of topographical information extraction and topographical data mining such as mineral exploration, resource assessment, environmental pollution assessment, natural disaster analysis, marine vortex extraction and the like.

The invention provides a method and device for distributing shared resources in a base band pool, wherein the method comprises the following steps of calculating the current resource utilization rate of a cell based on an event with changed cell resource use situation, and determining a cell resource assessment upper limit and a cell resource assessment lower limit according to the current resource use situation of a cell group and the current service volume of the cell; and combining the current resource utilization rate of the cell and the calculated cell resource assessment upper limit and the cell resource estimate lower limit to identify whether to active the shared carrier resource of the cell or deactivate the shared carrier resource of the cell. According to the scheme of the invention, the shared resource in the base band pool can be reasonably distributed.

The invention provides a resource pool management system and management method. The management system comprises a business monitor module, a resource pool monitor module, a resource evaluation and analysis module, a business management module and a resource pool management module. The business monitor module is used for monitoring a business and sending monitored first monitoring information to the resource evaluation and analysis module. The resource pool monitor module is used for monitoring a resource pool and sending monitored second monitoring information to the resource evaluation and analysis module. The resource evaluation and analysis module is used for evaluating the current state of the resource pool according to the first monitoring information and the second monitoring information and sending a management command to the business management module and / or the resource pool management module according to an evaluation result. The business management module is used for managing the business according to the management command sent by the resource evaluation and analysis module. The resource pool management module is used for managing a server in the resource pool according to the management command sent by the resource evaluation and analysis module. Through adoption of the resource pool management system, the resource use ratio can be improved.

The invention discloses a wind speed vector data simulation generation method considering multiple correlation. The method includes the steps that a correlation model between wind speed of two wind farms and wind direction of the two wind farms is set up according to the Copula theory, empirical distribution, the Weibull distribution model and a wind speed and wind direction condition dependent model which is set up through clustering, converting and other methods are adopted, a wind speed vector data generation model of the two wind farms is finally generated, and the wind speed vector data generation model has correlation and condition dependency. The wind speed vector data simulation generation method has the advantages that the multi-wind-farm wind speed and wind direction data generated in a simulation mode by adopting the wind speed vector data simulation generation method can keep the same multiple correlation and condition dependency as original data, further keep the same statistical property and the distribution property as the original data well and provide effective reference for the reliability analysis and research on wind farm resource assessment and an electric system containing wind energy.

The constant volume prostration test method of condensate gas flow-storing body is used in resource assessment of oil field gas flow-storing body. It characterized in that in course of the constant volume prostration test, constant liquid volume is decompressed stepped from the dew-point pressure in geological strata temperature to discharge liquid, the output of oil and gas is measured, component analysis of oil and gas is preceded. The recovery ratio of natural gas and condensate oil and residual spray mixture in production of condensate gas flow-storing body is obtained by calculation. The dynamic performance of prostration dislodging of hydrocarbon reservoir can be simulated actually, the dynamic parameters which is conformed to the reality in different class of prostration pressures are collected, accurate recovery coefficient and amount of residuum is supplied.

The invention relates to a method for evaluating the hydrocarbon source rock organic matter hydrocarbon generation conversion rate, in particular to a method for evaluating the organic matter hydrocarbon generation conversion rate based on the principle of material balance and belongs to the technical field of petroleum resource assessment. Actually-measured hydrocarbon source rock pyrolysis data and a simple mathematical model are adopted for calculation, meanwhile correction of HI is considered, the corrected HI is applied to analysis and evaluation of the organic matter hydrocarbon generation conversion rate, and result accuracy and reliability are remarkably improved. The method has the advantages of being rapid, low in application cost and high in operability, the obtained result is precise, and large-scale industrialized application is achieved conveniently.

The embodiment of the invention discloses a resource allocation method, related equipment and a distributed system based on mapping / reduction MapReduce. The system includes a management node and a target calculation node, the management node is used for obtaining M calculation tasks, and a resource assessment model is built according to the data size of the M calculation tasks; information of onepart of calculation tasks in the M calculation tasks and the resource assessment model are sent to a target calculation node; the target calculation node is used for receiving the information, sent by the management node, of the part of calculation tasks and the resource assessment model; before each calculation state of the target task is executed, input data of the calculation stage is substituted into the resource assessment model so as to calculate the resource size of the calculation resource required in the calculation stage; through the calculation resource with the resource size in apreset resource pool, the input date is calculated. According to the resource allocation method, the related equipment and the distributed system, the utilization ratio of the calculation resource canbe improved.

The invention discloses an active gridding planning method based on distributed power supply access. The method comprises the following steps: S1, analyzing current situations of economy, a power supply and a power grid in a planning area; S2, performing gridding division on the planning area, and determining a power supply type planning target in each grid; S3, predicting power demand and distributed power supply in each power supply grid in the long-range years, and analyzing the influence of distributed power supply access on load prediction; S4, determining power distribution network gridding planning schemes under various situations according to the power demand and the distributed power supply prediction result; S5, analyzing the current situation of the absorption capability of thepower grid distributed power supply, and formulating a transition grid scheme; and S6, analyzing the investment and construction effects of the active gridding plan. Through resource assessment, consumption analysis and targets and transition grid formulation of distributed power supply, orderly construction of the power distribution network is guaranteed. Full access and full consumption of the distributed power supply are achieved, and coordinated development of new energy and power grids is promoted.

The invention provides a photovoltaic resource assessment optimization method and system based on historical meteorological data. The photovoltaic resource assessment optimization method comprises the following steps: 1) acquiring the historical meteorological data on a national scale, and computing and archiving the data and converting the form of the data into a data form satisfying the requirement of mapping so as to provide the data source for the whole mapping function; 2) selecting an area on a satellite map, taking the longitude and the latitude of the coordinate point of a diagonal point within the selected area range as the parameters, and then calling a mapping interface in a background service program; 3) using a mapping interface function for background service to inquire the longitude, the latitude and the total irradiance data required by mapping of the selected area, and using the related command of an NCL (The NCAR Command Language) mapping tool to generate a resource distribution map; and 4) loading the resource distribution map, superposing the resource distribution map above the map in a semi-transparent mode, and checking the resource distribution situation by means of combination of the map. The photovoltaic resource assessment optimization method and system based on historical meteorological data can provide a creative assessment scheme for a user, and can greatly improve the efficiency of assessment, and can reduce the assessment time and the assessment cost.

The invention relates to a resource assessment method and system, computer equipment and a storage medium. The method comprises the following steps: obtaining cluster index information to be evaluated, determining cluster job average delay and a cluster resource utilization rate according to the to-be-evaluated cluster index information; according to the cluster index information to be evaluated,trunking operation average delay and trunking resource utilization rate are increased; determining a queue operation average delay standard deviation and a queue resource utilization rate standard deviation; According to at least one of the cluster job average delay, the cluster resource utilization rate, the queue job average delay standard deviation and the queue resource utilization rate standard deviation, resource assessment is carried out, so that quantitative analysis on the use condition of the whole queue or the whole cluster is realized, and the assessment method is more accurate.

The invention relates to a method for regional wind-solar power generation resource assessment method based on K-means clustering, comprising the following steps: pre-processing original wind-photovoltaic data sequence by using a virtual power generation system model, and converting the original wind speed and light intensity data into capacity coefficient; constructing the index of regional resource coordination coefficient, quantifying the complementarity among different kinds of power generation resources in different locations, and forming a new data set; using a PCA method to deal with anew data set and reducing the dimension of a new data set; and using a K-means clustering method to extract the complementary pattern of the regional wind-solar power generation resources and visualizes the result. The invention reduces the dimension of the original data set of the regional wind-solar power generation resource assessment, takes into account the requirements of high-dimensional data calculation and visualization, and has high engineering practical application value and advancement; and comprehensive considers the complementarity of regional power generation resources, can guidethe planning of a regional complementary power generation system and improves the resource utilization efficiency.

One or more embodiments of the invention disclose a resource data processing method and device, which are used for solving the problems of low data clustering efficiency and low risk management efficiency in the prior art. The method comprises the steps of determining at least one resource segmentation value corresponding to a plurality of resource data based on segmentation positions of the plurality of resource data; and performing clustering processing on the plurality of resource data by using the resource segmentation values to obtain a plurality of resource clustering groups; according to a preset resource evaluation index, determining a target resource clustering group corresponding to the resource evaluation index from the plurality of resource clustering groups, wherein the resource evaluation indexes comprise risk evaluation parameters used for performing risk evaluation on the resource data; and determining a resource evaluation threshold corresponding to the resource data according to a target resource segmentation value corresponding to the target resource clustering group. The resource evaluation threshold is used for performing risk evaluation on the resource data.

The invention provides a testing system and method based on host system transaction replaying. The system comprises an information bypass device and a replaying device, wherein the information bypass device is connected to a gateway cluster and is used for obtaining from the gateway cluster a transaction message sent from a terminal to the host system when conducting a test; the replaying device is connected to the information bypass device and is used for receiving a transaction message sent by the information bypass device, starting a replayed simulated user according to a preset test target and a load configuration, controlling the simulated user to initiate a transaction towards a host business transaction system in the host system, and receiving a processing result returned by the host business transaction system so as to analyze the success rate of transaction replaying and generate a pressure testing result. According to the testing system and method based on the host system transaction replaying, under the circumstance that there is no need to put into too much manpower, recurrence in a verification environment mapping type of a production transaction is achieved, and thus stability and reliability of an upgrading version of system software under a user environment is further improved; in addition, the testing system and method based on the host system transaction replaying can be applied to simulated analysis of system resource assessments with high innovation of a producing peak in the future.

Systems and methods of managing computing resources of a computing system are described. A computing resource list and computing resource information may be stored at a data store. The computing resource list may identify a set of computing resources of a computing system, and the computing resource information may respectively describe the computing resources. The computing resource list may be updated in response to a new computing resource being added to the computing system or in response to an existing computing resource being removed from the computing system. Evaluation tasks for the computing resources may be performed, and a resource evaluation report may be generated during performance of at least one of the evaluation reports.

Systems, computer-implemented methods, and computer-readable media for facilitating resource balancing based on resource capacities and resource assignments are disclosed. Electronic communications, received via interfaces, from monitoring devices to identify resource descriptions of resources may be monitored. A resource descriptions data store may be updated to associate each entity of the entities and resource capacities of each resource type of resource types. A first electronic communication, from resource-controlling systems, may be detected. Model data from a model data store may be accessed based on the identified resource descriptions. A first model may be identified based on the model data. A resources assessment corresponding may be generated based on whether a threshold is satisfied based on the first model, a first resource capacity of a first resource type, and the first electronic communication. An electronic notification may be transmitted to the client devices to identify the resources assessment.

The embodiment of the invention provides a cloud platform resource utilization rate assessment method and device. The method comprises the following steps: acquiring resource use parameters of each node included in a cloud platform at intervals of a first preset period, and calculating a first resource utilization rate of each node according to the resource use parameters; determining nodes included in each cluster corresponding to a plurality of preset cluster types according to the parameter information of each node; And calculating the comprehensive resource utilization rate of each clusteraccording to a preset evaluation model according to the first resource utilization rate of the node included in each cluster. The device is used for executing the method. According to the method andthe device provided by the embodiment of the invention, the cloud platform resource assessment accuracy is improved.

Responsive to a request to access heterogeneous repositories, a REST server queries a resource registry to find resources that match mapping information contained in the request. The resource registry returns resource registry tables containing the matching resources. The resource registry tables implement a unified data structure of a resource registry model and are generated at runtime by the resource registry mapping REST service configuration parameters to the fields of the unified data structure. The REST service configuration parameters are added to an extension SDK for REST extension developers to enhance REST service configuration for extension applications. The REST service configuration parameters are configured at implementation time and loaded / scanned into the REST server at runtime. The REST server iteratively evaluates the resource registry tables until all the matching resources have been evaluated. The evaluation result is used to determine whether to reject, accept, or redirect the request from the client device.

The invention, which relates to the technical field of acoustic signal identification of fresh water body bubbles, discloses an acoustic signal identification method of fresh water body bubbles. The method comprises the following steps: S1, carrying out acoustic data acquisition; S2, carrying out acoustic data analysis; S3, carrying out signal identification; S4, carrying out result verification.To be specific, the S1 also includes the following steps: A1, selecting a reservoir or a lake as a research water body, vertically and downwards fixing a fish finder transducer on a ship board, and enabling the draft to be about 0.5m and the ship speed to be less than or equal to 3km / h; A2, setting a course direction to be a density gradient line perpendicular to bubbles and employing two modes ofa Z-shaped mode or a parallel section mode. According to the invention, original acoustic data are collected and analyzed; the signal characteristics, motion rules and recognition methods of underwater gas are explored; a novel idea is provided for analyzing sediment and evolution of rivers, lakes and reservoirs; and signal misjudgment can be reduced in the resource assessment, so that the resource assessment accuracy is improved.

The invention belongs to the technical field of urban building solar energy resource evaluation, and particularly relates to an urban building solar energy resource evaluation information system and aworking method thereof.The urban building solar energy resource evaluation information system comprises a client and a server; wherein the client is suitable for and sending the set parameters to the server; the server is suitable for carrying out solar energy resource evaluation according to the parameters, generating corresponding map data and statistical data, and sending the corresponding map data and statistical data to the client; the client side is suitable for displaying and exporting corresponding map data and statistical data, informatization management of calculation, evaluation,query and the like of solar resources of buildings in a target area is achieved, and scientific decision support is provided for development and utilization of the solar resources of urban buildings.

A smart monitoring platform for a photovoltaic power station relates to the technical field of smart monitoring. The smart monitoring platform comprises a basic functional module, an expansion function module and an auxiliary function module, wherein the basic functional module includes the functions of production process data acquisition and processing, production process data monitoring, equipment state monitoring and fault diagnosis, remote control and economical index and performance calculating and analyzing, the expansion function module mainly realizes the functions of equipment management and predictive maintenance, optical power prediction, and system modeling and simulation, and the auxiliary function module mainly achieves the functions of system management and maintenance, equipment accounts, and operation and production management. The smart monitoring platform integrates the functions of photovoltaic resource assessment, real-time operation monitoring, operation management, fault diagnosis and production and operation management. A global-oriented and integrated full-flow automated management and operation means is provided, which makes global massive monitoring and operation become possible.